Description: The purpose of this paper is to explore pension plan dynamics— – the behavior of a defined- benefit pension plan over time in an uncertain environment. We proceed by simulating the behavior of a model plan in a stochastically varying economic environment. While both the model and its environment are simplified, the model displays interesting behavior suggesting policy considerations that should be included in the design and funding of these plans.

Description: Chairperson's corner for January 2020 In the Public Interest.

Description: The article discusses the Texas Pension Review Board's Guidelines for Actuarial Soundness applicable to Texas state public retirement systems (including the system's amortization period), and how these guidelines are consistent with and complementary to both the current GASB 27 ARC disclosure, and the imminent GASB 67 & 68 disclosures. The GASB requirements will change from a de facto funding standard to strictly disclosure requirements, with a focus on plans whose funding trajectory is the poorest.

Description: Paper that discusses a new funding method that would make the recommended contribution for funding purposes for public DB plans subject to an overriding minimum contribution OMC calculation.

Description: Discussion of competing theories for valuing public pension liabilities. Emphasis on revised Actuarial Standards of Practice that focus on the purpose of the measurement.

Description: The purpose of this paper is to explore a methodology for choosing among techniques for managing contribution volatility in defined- benefit pension plans. A frequently used – and as often criticized – method for managing contribution volatility is to base actuarial cost on smoothed assets. Our goal in this paper is to develop a methodology for measuring and evaluating the quantitative impact of competing asset smoothing policies. We proceed by investigating a series of basic pension metrics, evaluating the characteristics of each using a simulated pension plan. We then use normalized and weighted combinations of these metrics to determine an optimal smoothing policy.